Continuous Maximum Visibility Query for a Moving Target

2016 ◽  
pp. 82-94 ◽  
Author(s):  
Ch. Md. Rakin Haider ◽  
Arif Arman ◽  
Mohammed Eunus Ali ◽  
Farhana Murtaza Choudhury
Keyword(s):  
Moving Target

Where's That Wascally Wilber? The Challenges of Hitting a Moving Target

PsycCRITIQUES ◽  
2007 ◽  
Vol 52 (13) ◽  
Author(s):  
Douglas A. MacDonald
Keyword(s):  
Moving Target

Pediatric rehabilitation psychology: Rehabilitating a moving target.

2017 ◽  
Vol 62 (3) ◽  
pp. 223-226 ◽  
Author(s):  
Jacqueline N. Kaufman ◽  
Sarah Lahey ◽  
Beth S. Slomine
Keyword(s):  
Moving Target ◽  
Pediatric Rehabilitation ◽  
Rehabilitation Psychology

Accurate Imaging Method for Moving Target with Arbitrary Shape for Multi-Static UWB Radar

2013 ◽  
Vol E96.B (7) ◽  
pp. 2014-2023 ◽  
Author(s):  
Ryo YAMAGUCHI ◽  
Shouhei KIDERA ◽  
Tetsuo KIRIMOTO
Keyword(s):  
Arbitrary Shape ◽  
Imaging Method ◽  
Moving Target ◽  
Uwb Radar ◽  
Accurate Imaging

A Moving Target

CFA Magazine ◽  
2009 ◽  
Vol 20 (1) ◽  
pp. 20-21 ◽  
Author(s):  
Nancy Opiela
Keyword(s):  
Moving Target

On strategy for determining displacement solely from perturbed phase of self mixing interferometry

2020 ◽  
Author(s):  
Junaid Khan
Keyword(s):  
Coupling Factor ◽  
Moving Target ◽  
Linear Phase ◽  
Spectral Filtering ◽  
Signal Shape ◽  
Phase Equation ◽  
Sensing Applications ◽  
Computationally Expensive ◽  
Fixed Point Methods ◽  
Factor C

While self mixing interferometry(SMI) has proven to be suitable for displacement measurement and other sensing applications,its characteristic self mixing signal shape is strongly governed by the non-linear phase equation which forms relation between perturbed and unperturbed phase of self mixing laser.Therefore, while it is desirable for robust estimation of displacement of moving target, the algorithms to achieve this must have an objective strategy which can be achieved by understanding the characteristic of extracting knowledge of perturbed phase from unperturbed phase. Therefore, it has been proved and shown that such strategy must not involve sole methods where perturbed phase is continuous function of unperturbed phase (e.g:Taylor series or fixed point methods) or through successive displacements (e.g: variations of Gauss Seidal method). Subset of this strategy is to perform spectral filtering of perturbed phase followed by perturbative or homotopic deformation. A less computationally expensive approach of this strategy is adopted to achieve displacement with mean error of 62.2nm covering all feedback regimes, when coupling factor 'C' is unknown.<br>

Tracking Moving Target Using Active Drift Correction Algorithm

2009 ◽  
Vol 35 (3) ◽  
pp. 310-314
Author(s):  
Hong-You LI ◽  
Tong-Qing WANG ◽  
Jun-Yong YE
Keyword(s):  
Moving Target ◽  
Correction Algorithm ◽  
Drift Correction
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